{"@type": "dcat:Dataset", "accessLevel": "public", "accrualPeriodicity": "irregular", "bureauCode": ["026:00"], "contactPoint": {"@type": "vcard:Contact", "fn": "Elizabeth Foughty", "hasEmail": "mailto:elizabeth.a.foughty@nasa.gov"}, "description": "IMPROVING CAUSE DETECTION SYSTEMS WITH ACTIVE LEARNING\r\nISAAC PERSING AND VINCENT NG\r\n\r\nAbstract. Active learning has been successfully applied to many natural language processing\r\ntasks for obtaining annotated data in a cost-effective manner. We propose several extensions to an\r\nactive learner that adopts the margin-based uncertainty sampling framework. Experimental results\r\non a cause detection problem involving the classification of aviation safety reports demonstrate\r\nthe effectiveness of our extensions.", "distribution": [{"@type": "dcat:Distribution", "description": "IMPROVING CAUSE DETECTION SYSTEMS WITH ACTIVE LEARNING", "downloadURL": "https://c3.nasa.gov/dashlink/static/media/publication/Paper_4_.pdf", "format": "PDF", "mediaType": "application/pdf", "title": "Paper 4 .pdf"}, {"@type": "dcat:Distribution", "description": "Presentation", "downloadURL": "https://c3.nasa.gov/dashlink/static/media/publication/Paper4_presentation.pdf", "format": "PDF", "mediaType": "application/pdf", "title": "Paper4_presentation.pdf"}], "identifier": "DASHLINK_226", "issued": "2010-10-13", "keyword": ["ames", "dashlink", "nasa"], "landingPage": "https://c3.nasa.gov/dashlink/resources/226/", "modified": "2025-03-31", "programCode": ["026:029"], "publisher": {"@type": "org:Organization", "name": "Dashlink"}, "title": "IMPROVING CAUSE DETECTION SYSTEMS WITH ACTIVE LEARNING"}